Big Data in Changes: Is big data bigger then sustainable development and research design?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F15%3A%230003729" target="_blank" >RIV/47813059:19520/15:#0003729 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Big Data in Changes: Is big data bigger then sustainable development and research design?
Original language description
This paper is oriented on research design with links on big data in the global information society. Big data creates a phenomenon in modern society, where firms, organizations, and individuals must work with data, information, and knowledge. Big data isoriented around the derivation of needed and correct information with knowledge from stored data. The solution is to apply optimal research design as a multidimensional approach on big data based on defined preferences. Key is a complete perception of reality based on an optimal research design. Such approach works with many objects and different contexts using available analytical disciplines (layers). Needed spectrum of suitable analytical disciplines is wide. Presented design is focused on browsing selected layers via disciplines such as Artificial Intelligence, Business Intelligence, Customer Intelligence, Competitive Intelligence and Swarm Intelligence. For active work with data via various layers, a good helper is simulation and m
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS TRANSACTIONS on COMPUTERS
ISSN
2224-2872
e-ISSN
—
Volume of the periodical
2015
Issue of the periodical within the volume
14
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
835-842
UT code for WoS article
—
EID of the result in the Scopus database
—